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Paper Abstract and Keywords
Presentation 2017-07-27 09:55
A fairness index based on the linear regression model
Yutaka Shimamura, Hiroshi Inai (Okayama Pref. Univ.) CQ2017-30
Abstract (in Japanese) (See Japanese page) 
(in English) Jain's index is widely used for a fairness measure. Under Jain's index, a fairness index value is between 0 and 1, and it becomes large as a fair share achieves. When a data varies little, it provides a reasonable value.
However, if a data has large deviation,
it may be inappropriate. In this research, to solve that problem, we propose a new fairness index based on the linear regression model , and verify the effects by showing some numerical examples.
Keyword (in Japanese) (See Japanese page) 
(in English) Fairness / Index / Linear regression model / / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 159, CQ2017-30, pp. 7-11, July 2017.
Paper # CQ2017-30 
Date of Issue 2017-07-20 (CQ) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF CQ2017-30

Conference Information
Committee CQ  
Conference Date 2017-07-27 - 2017-07-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Kobe University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Assessment, Measurement and Control of QoE and QoS, etc. 
Paper Information
Registration To CQ 
Conference Code 2017-07-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A fairness index based on the linear regression model 
Sub Title (in English)  
Keyword(1) Fairness  
Keyword(2) Index  
Keyword(3) Linear regression model  
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1st Author's Name Yutaka Shimamura  
1st Author's Affiliation Okayama Prefectural University (Okayama Pref. Univ.)
2nd Author's Name Hiroshi Inai  
2nd Author's Affiliation Okayama Prefectural University (Okayama Pref. Univ.)
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Speaker Author-1 
Date Time 2017-07-27 09:55:00 
Presentation Time 25 minutes 
Registration for CQ 
Paper # CQ2017-30 
Volume (vol) vol.117 
Number (no) no.159 
Page pp.7-11 
#Pages 5 
Date of Issue 2017-07-20 (CQ) 

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